Mr. Dipnarayan Guha Profile

Dipnarayan Guha

Researcher at Information and Communications Univ

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Publications (4)

Proceedings Article | 26 May 2005 Paper

Distributed net-centric architecture of m2m acquisition units with optical GVA

Jun Choi, Dipnarayan Guha, Mashfique Hassan

Proceedings Volume 5820, (2005) https://doi.org/10.1117/12.612376

KEYWORDS: Optical signal processing, Transform theory, Data processing, Optical design, Signal processing, Computer architecture, Free space optics, Adaptive optics, Computing systems, Computer programming

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Proceedings Article | 14 October 2003 Paper

Localized linear operators: application to image sequence compression using optical signal processing

Dipnarayan Guha

Proceedings Volume 5062, (2003) https://doi.org/10.1117/12.514761

KEYWORDS: Filtering (signal processing), Optical filters, Image compression, Optical signal processing, Wavelets, Matrices, Electronic filtering, Transform theory, Linear filtering, Image filtering

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Proceedings Article | 14 August 2003 Paper

An interesting reconfigurable optical signal processor architecture

Dipnarayan Guha

Proceedings Volume 5246, (2003) https://doi.org/10.1117/12.511143

KEYWORDS: Signal processing, Optical signal processing, Transform theory, Computer architecture, Control systems design, Signals intelligence, Digital signal processing, Filtering (signal processing), Radar, Optical components

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Proceedings Article | 8 July 2002 Paper

Quo vadis, signal processing?

Dipnarayan Guha

Proceedings Volume 4872, (2002) https://doi.org/10.1117/12.475142

KEYWORDS: Signal processing, Optical signal processing, Geometrical optics, Optical networks, Electronics, Digital signal processing, Wavelength division multiplexing, Polarization, Optical components, Interfaces

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When Light propagates through optical elements (such as lenses), it undergoes a transform. The input and the output data take the form of light and optical elements that perform different mathematical operations on light represent the linear transform. The transform is performed not on the discrete elements of the data but on the whole vector at once, and most significantly, at the speed of light. The great advantages offered by optical processing are that it offers enormous parallelism, operating on all data points simultaneously, very low latency, a high transform rate and low power dissipation. The outcome is enormously increased speed and a reduction in the amount of associated cooling required. The Optical Signal Processor (OSP) increases the speed of processing transforms by many orders of magnitude. The Signal Processor is also reconfigurable and can be dynamically tailored to the required transform type. One advantage of an optical processor is that it allows software designers to work at a much higher level of abstraction. This is because the device executes transforms instead of the ordinary MACs in the case of DSPs. Instead of handling algorithms at individual data points, algorithms for handling the entire vector could be processed, shortening the computational complexity and speeding the time-to-market for new products. An optical filter can be represented as a generic function, the most fundamental of the optical processor. The impulse response of this filter is defined with respect to frequency of light. Any transform on light can be represented as a combination of linear transforms. This is fundamentally the law of optical signal processing. The most important application of an OSP in Optical Networking is Pattern recognition, and this can easily be done by the usual cross-correlation technique that is common in digital signal processing. The OSP can be programmed to autocorrelate against specific temporal reference waveforms, viz. Data. The decoding is done without electronic processing. And of

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